A 7-year prospective analysis of sustained benefits of multicomponent risk assessment and data-driven care in patients with type 2 diabetes: The Malaysian JADE Program
15 September 2025
Jia-Xin Hoo, Luqman Ibrahim, Ya-Feng Yang, Shireene R. Vethakkan, Jeyakantha Ratnasingam, Sharmila Alexander, S. Paramasivam, T. B. Tan, Eric S. H. Lau, Siew-Pheng Chan, Yook-Chin Chia, Andrea O. Y. Luk, Sanjay Rampal, Lee-Ling Lim, Juliana C. N. Chan
Abstract
Aim
We evaluated the sustained effects of multicomponent risk assessment and data-driven care augmented by the web-based Joint Asia Diabetes Evaluation (JADE) Platform with a built-in template to guide comprehensive assessment (CA) for risk stratification on top of usual care in patients with type 2 diabetes (T2D) from Malaysia.
Methods
In 2012-2015, 1196 T2D patients participated in a 1-year JADE Program randomised to (1) CA-only, (2) receipt of a JADE personalised report (CA + R) to empower self-care, or (3) engagement by nurse phone calls (CA + R + T). In 2020-2022, patients underwent repeat CA for evaluation of attainment of ≥2 ABC targets (HbA1c <7%, Blood pressure <130/80 mmHg, low-density lipoprotein Cholesterol [LDL-C] <2.6 mmol/L) and diabetes-related endpoints.
Results
After 7.5 ± 0.5 (mean ± SD) years, 138 (11.5%) patients had died, 232 (19.4%) defaulted, and 826 (69.1%) patients returned. The deceased had more complications, while non-returnees were younger, with fewer complications but worse risk factor control than returnees at baseline. Using inverse probability weighting and logistic regression, attaining ≥2 ABC targets was associated with CA + R + T (vs. CA-only) with an odds ratio (OR, 95% confidence interval) of 1.57 (1.02-2.41, p = 0.041). Other predictors included age [1.05 (1.04-1.07, p < 0.001)], diabetes duration [0.97 (0.95-0.99, p = 0.003)], JADE risk category 3 [0.41 (0.26-0.66), p < 0.001] and risk category 4 (vs. category 1 and 2) [0.22 (0.12-0.38), p < 0.001]. Amongst participants without complications at baseline, CA + R + T was associated with an incidence rate ratio of 0.89 (0.78-1.00, p = 0.043) for any diabetes-related endpoints.
Conclusions
Technology-assisted multicomponent risk assessment and data-driven care for 1-year identified high-risk patients and improved outcomes after 7 years.
Keywords
data‐driven; diabetes; legacy effects; multicomponent care; technology; treatment targets.
Reference
- Institute for Public Health. (2024). National Health and Morbidity Survey (NHMS) 2023: Non-communicable diseases and healthcare demand – Key findings. Ministry of Health Malaysia.
- Ministry of Health Malaysia. (2021). National Diabetes Registry report 2020. Planning Division, Ministry of Health Malaysia.
- Ministry of Health Malaysia. (2020). National Diabetes Registry report 2013–2019. Planning Division, Ministry of Health Malaysia.
- Chawla, A., Chawla, R., & Jaggi, S. (2016). Microvascular and macrovascular complications in diabetes mellitus: Distinct or continuum? Indian Journal of Endocrinology and Metabolism, 20(4), 546–551. https://doi.org/10.4103/2230-8210.183480
- Xie, J., Ikram, M. K., Cotch, M. F., Sharrett, A. R., Klein, R., Klein, B. E. K., & Wong, T. Y. (2017). Association of diabetic macular edema and proliferative diabetic retinopathy with cardiovascular disease: A systematic review and meta-analysis. JAMA Ophthalmology, 135(6), 586–593. https://doi.org/10.1001/jamaophthalmol.2017.0971
- Brownrigg, J. R., Hughes, C. O., Burleigh, D., Karthikesalingam, A., Patterson, B. O., Holt, P. J., Thompson, M. M., De Lusignan, S., Ray, K. K., & Hinchliffe, R. J. (2016). Microvascular disease and risk of cardiovascular events among individuals with type 2 diabetes: A population-level cohort study. The Lancet Diabetes & Endocrinology, 4(7), 588–597. https://doi.org/10.1016/S2213-8587(16)30057-2
- Lim, L. L., Chow, E., & Chan, J. C. N. (2023). Cardiorenal diseases in type 2 diabetes mellitus: Clinical trials and real-world practice. Nature Reviews Endocrinology, 19(3), 151–163. https://doi.org/10.1038/s41574-022-00775-w
- Kong, A. P., Yang, X., Ko, G. T., So, W. Y., Yeung, C. Y., Ho, C. S., Chow, C. C., Cockram, C. S., & Chan, J. C. (2007). Effects of treatment targets on subsequent cardiovascular events in Chinese patients with type 2 diabetes. Diabetes Care, 30(4), 953–959. https://doi.org/10.2337/dc06-1897
- Ganasegeran, K., Hor, C. P., Jamil, M. F. A., Loh, H. C., Noor, J. M., Hafiz, A. I. M., Looi, I., & Lim, L. L. (2020). A systematic review of the economic burden of type 2 diabetes in Malaysia. International Journal of Environmental Research and Public Health, 17(16), Article 5723. https://doi.org/10.3390/ijerph17165723
- Zhang, P., Zhang, X., Brown, J., Vistisen, D., Sicree, R., Shaw, J., & Nichols, G. (2010). Global healthcare expenditure on diabetes for 2010 and 2030. Diabetes Research and Clinical Practice, 87(3), 293–301. https://doi.org/10.1016/j.diabres.2010.01.026
- Trikkalinou, A., Papazafiropoulou, A. K., & Melidonis, A. (2017). Type 2 diabetes and quality of life. World Journal of Diabetes, 8(4), 120–129. https://doi.org/10.4239/wjd.v8.i4.120
- Lim, L. L., Lau, E. S. H., Kong, A. P. S., Davies, M. J., Levitt, N. S., Ning, G., So, W. Y., Oldenburg, B., & Chan, J. C. N. (2018). Aspects of multicomponent integrated care promote sustained improvement in surrogate clinical outcomes: A systematic review and meta-analysis. Diabetes Care, 41(6), 1312–1320. https://doi.org/10.2337/dc17-2010
- Chan, J. C. N., Lim, L. L., Luk, A. O. Y., Ozaki, R., Kong, A. P. S., Ma, R. C. W., So, W. Y., & Chow, C. C. (2019). From Hong Kong Diabetes Register to JADE Program to RAMP-DM for data-driven actions. Diabetes Care, 42(11), 2022–2031. https://doi.org/10.2337/dc19-0266
- Lim, L. L., Lau, E. S. H., Fu, A. W. C., Luk, A. O. Y., Aravind, S. R., Chan, W. B., Yoon, K. H., Tsang, C. C., Tsang, M. W., Tan, A. T. B., Himathongkam, T., Wolffenbuttel, B. H. R., Pratley, R. E., Mbanya, J. C., Ning, G., So, W. Y., Kong, A. P. S., Ma, R. C. W., & Chan, J. C. N. (2021). Effects of a technology-assisted integrated diabetes care program on cardiometabolic risk factors among patients with type 2 diabetes in the Asia-Pacific region: The JADE program randomized clinical trial. JAMA Network Open, 4(4), Article e217557. https://doi.org/10.1001/jamanetworkopen.2021.7557
- Chan, J., So, W., Ko, G., Tong, P., Yang, X., Ma, R., Kong, A., Chow, C., & Cockram, C. (2009). The Joint Asia Diabetes Evaluation (JADE) program: A web-based program to translate evidence to clinical practice in Type 2 diabetes. Diabetic Medicine, 26(7), 693–699. https://doi.org/10.1111/j.1464-5491.2009.02749.x
- Tutino, G. E., Yang, W. Y., Li, X., Luk, A. O. Y., Lau, E. S. H., Zhang, X., Ji, L., Weng, J., Jia, W., Lu, J., Sheu, W. H. H., Ning, G., & Chan, J. C. N. (2017). A multicentre demonstration project to evaluate the effectiveness and acceptability of the web-based Joint Asia Diabetes Evaluation (JADE) programme with or without nurse support in Chinese patients with Type 2 diabetes. Diabetic Medicine, 34(3), 440–450. https://doi.org/10.1111/dme.13264
- Craig, P., Katikireddi, S. V., Leyland, A., & Popham, F. (2017). Natural experiments: An overview of methods, approaches, and contributions to public health intervention research. Annual Review of Public Health, 38(1), 39–56. https://doi.org/10.1146/annurev-publhealth-031816-044327
- Chan, J. C. N., Sui, Y., Oldenburg, B., Zhang, Y., Chung, H. H. Y., Goggins, W., Yu, L. W. W., Li, X., Ozaki, R., Chong, M., Wong, R. Y. M., So, W. Y., & Tong, P. C. Y. (2014). Effects of telephone-based peer support in patients with type 2 diabetes mellitus receiving integrated care: A randomized clinical trial. JAMA Internal Medicine, 174(6), 972–981. https://doi.org/10.1001/jamainternmed.2014.655
- Khunti, K., Zaccardi, F., Amod, A., Aschner, P., Bailey, C. J., Cos, X., Del Prato, S., Guja, C., Karalliedde, J., Ji, L., Kautzky-Willer, A., Mbanya, J. C., Mathieu, C., Misra, A., Mohan, V., & Paldánius, P. M. (2025). Glycaemic control is still central in the hierarchy of priorities in type 2 diabetes management. Diabetologia, 68(1), 17–28. https://doi.org/10.1007/s00125-024-06283-z
- Chan, J. C. N., Paldánius, P. M., Mathieu, C., Stumvoll, M., Matthews, D. R., & Del Prato, S. (2021). Early combination therapy delayed treatment escalation in newly diagnosed young-onset type 2 diabetes: A subanalysis of the VERIFY study. Diabetes, Obesity and Metabolism, 23(1), 245–251. https://doi.org/10.1111/dom.14209
- Lim, L. L., Jones, S., Cikomola, J. C., Hivert, M. F., & Misra, S. (2025). Understanding the drivers and consequences of early-onset type 2 diabetes. The Lancet, 405(10497), 2327–2340. https://doi.org/10.1016/S0140-6736(25)00318-7
- Lim, L. L., Lau, E. S. H., Kong, A. P. S., Luk, A. O. Y., Ma, R. C. W., & Chan, J. C. N. (2022). Gender-associated cardiometabolic risk profiles and health behaviors in patients with type 2 diabetes: A cross-sectional analysis of the Joint Asia Diabetes Evaluation (JADE) program. The Lancet Regional Health - Western Pacific, 32, Article 100663. https://doi.org/10.1016/j.lanwpc.2022.100663
- Cheung, J. T. K., Lau, E., Tsui, C. C. T., Lim, L. L., Luk, A. O. Y., Chow, E., Kong, A. P. S., Ozaki, R., Ma, R. C. W., & Chan, J. C. N. (2022). Combined associations of family history and self-management with age at diagnosis and cardiometabolic risk in 86,931 patients with type 2 diabetes: Joint Asia Diabetes Evaluation (JADE) Register from 11 countries. BMC Medicine, 20(1), Article 249. https://doi.org/10.1186/s12916-022-02443-4
- Lim, L. L., Lau, E. S. H., Ozaki, R., Max, E., Luk, A. O. Y., Chow, E., Kong, A. P. S., Ma, R. C. W., So, W. Y., & Chan, J. C. N. (2020). Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE program: A retrospective cohort analysis. PLoS Medicine, 17(10), Article e1003367. https://doi.org/10.1371/journal.pmed.1003367
- Gaede, P., Oellgaard, J., Carstensen, B., Rossing, P., Lund-Andersen, H., Parving, H. H., & Pedersen, O. (2016). Years of life gained by multifactorial intervention in patients with type 2 diabetes mellitus and microalbuminuria: 21 years follow-up on the Steno-2 randomised trial. Diabetologia, 59(11), 2298–2307. https://doi.org/10.1007/s00125-016-4065-6
- Adler, A. I., Coleman, R. L., Leal, J., Whiteley, W. N., Clarke, P., & Holman, R. R. (2024). Post-trial monitoring of a randomised controlled trial of intensive glycaemic control in type 2 diabetes extended from 10 years to 24 years (UKPDS 91). The Lancet, 404(10448), 145–155. https://doi.org/10.1016/S0140-6736(24)00537-4
- Oellgaard, J., Gaede, P., Rossing, P., Persson, F., Parving, H. H., & Pedersen, O. (2017). Intensified multifactorial intervention in type 2 diabetics with microalbuminuria leads to long-term renal benefits. Kidney International, 91(4), 982–988. https://doi.org/10.1016/j.kint.2016.11.023
- Chalmers, J., & Woodward, M. (2020). Observational analyses from ADVANCE and ADVANCE-ON. Diabetes, Obesity and Metabolism, 22(S2), 19–32. https://doi.org/10.1111/dom.13982
- Holman, R. R., Paul, S. K., Bethel, M. A., Matthews, D. R., & Neil, H. A. W. (2008). 10-year follow-up of intensive glucose control in type 2 diabetes. The New England Journal of Medicine, 359(15), 1577–1589. https://doi.org/10.1056/NEJMoa0806470
- Ndumele, C. E., Rangaswami, J., Chow, S. L., Neeland, I. J., Tuttle, K. R., Khan, S. S., Coresh, J., Mathew, R. O., Baker-Smith, C. M., Brennan, F. X., Ho, J. E., Xian, Y., & Elkind, M. S. V. (2023). Cardiovascular-kidney-metabolic health: A presidential advisory from the American Heart Association. Circulation, 148(20), 1606–1635. https://doi.org/10.1161/CIR.0000000000001184
- de Boer, I. H., Khunti, K., Sadusky, T., Tuttle, K. R., Neumiller, J. J., Rhee, C. M., Rosas, S. E., Rossing, P., & Bakris, G. (2022). Diabetes management in chronic kidney disease: A consensus report by the American Diabetes Association (ADA) and Kidney Disease: Improving Global Outcomes (KDIGO). Diabetes Care, 45(12), 3075–3090. https://doi.org/10.2337/dci22-0027
- Sugiyama, T., Miyo, K., Tsujimoto, T., Kakehi, E., Ohtsu, H., Osawa, H., Terauchi, Y., & Noda, M. (2017). Design of and rationale for the Japan Diabetes compREhensive database project based on an Advanced electronic Medical record System (J-DREAMS). Diabetology International, 8(4), 375–382. https://doi.org/10.1007/s13340-017-0318-7
- Wu, H., Lau, E. S. H., Yang, A., Ma, R. C. W., Kong, A. P. S., Chow, E., So, W. Y., Chan, J. C. N., & Luk, A. O. Y. (2020). Trends in diabetes-related complications in Hong Kong, 2001–2016: A retrospective cohort study. Cardiovascular Diabetology, 19(1), Article 60. https://doi.org/10.1186/s12933-020-01037-3
- Magliano, D. J., Chen, L., Islam, R. M., Carstensen, B., Gregg, E. W., Pavkov, M. E., Andes, L. J., Balicer, R., Gregg, E. W., & Shaw, J. E. (2021). Trends in the incidence of diagnosed diabetes: A multicountry analysis of aggregate data from 22 million diagnoses in high-income and middle-income settings. The Lancet Diabetes & Endocrinology, 9(4), 203–211. https://doi.org/10.1016/S2213-8587(20)30402-2
- Lim, L. L., Hussein, Z., Noor, N. M., Tan, A. T. B., Ismail, M., Wan Seman, W. M., Bidin, M. B., Soo, L. R., Hor, C. P., & Looi, I. (2024). Real-world evaluation of care for type 2 diabetes in Malaysia: A cross-sectional analysis of the Treatment Adherence to Guideline Evaluation in Type 2 Diabetes (TARGET-T2D) study. PLoS ONE, 19(1), Article e0296298. https://doi.org/10.1371/journal.pone.0296298
- Khunti, K., Aroda, V. R., Aschner, P., Chan, J. C. N., Del Prato, S., Hambling, C. E., Harrison, S. L., Misra, A., Patel, D. K., & Seidu, S. (2022). The impact of the COVID-19 pandemic on diabetes services: Planning for a global recovery. The Lancet Diabetes & Endocrinology, 10(12), 890–900. https://doi.org/10.1016/S2213-8587(22)00278-9
- Endo, K., Miki, T., Itoh, T., Sawada, T., Takahashi, K., & Kaku, K. (2022). Impact of the COVID-19 pandemic on glycemic control and blood pressure control in patients with diabetes in Japan. Internal Medicine, 61(1), 37–48. https://doi.org/10.2169/internalmedicine.7997-21
Cite
Hoo J-X, Yang Y-F, Lau ESH, et al. A 7-year prospective analysis of sustained benefits of multicomponent risk assessment and data-driven care in patients with type 2 diabetes: The Malaysian JADE Program. Diabetes Obes Metab. 2025; 27(12): 7232-7243. doi:10.1111/dom.70125


